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Deciphering intercellular signaling complexes by interaction-guided chemical proteomics

Author

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  • Jiangnan Zheng

    (Southern University of Science and Technology)

  • Zhendong Zheng

    (Southern University of Science and Technology
    Harbin Institute of Technology)

  • Changying Fu

    (Southern University of Science and Technology)

  • Yicheng Weng

    (Southern University of Science and Technology)

  • An He

    (Southern University of Science and Technology)

  • Xueting Ye

    (Southern University of Science and Technology)

  • Weina Gao

    (Southern University of Science and Technology)

  • Ruijun Tian

    (Southern University of Science and Technology
    Southern University of Science and Technology)

Abstract

Indirect cell–cell interactions mediated by secreted proteins and their plasma membrane receptors play essential roles for regulating intercellular signaling. However, systematic profiling of the interactions between living cell surface receptors and secretome from neighboring cells remains challenging. Here we develop a chemical proteomics approach, termed interaction-guided crosslinking (IGC), to identify ligand-receptor interactions in situ. By introducing glycan-based ligation and click chemistry, the IGC approach via glycan-to-glycan crosslinking successfully captures receptors from as few as 0.1 million living cells using only 10 ng of secreted ligand. The unparalleled sensitivity and selectivity allow systematic crosslinking and identification of ligand-receptor complexes formed between cell secretome and surfaceome in an unbiased and all-to-all manner, leading to the discovery of a ligand-receptor interaction between pancreatic cancer cell-secreted urokinase (PLAU) and neuropilin 1 (NRP1) on pancreatic cancer-associated fibroblasts. This approach is thus useful for systematic exploring new ligand-receptor pairs and discovering critical intercellular signaling events.

Suggested Citation

  • Jiangnan Zheng & Zhendong Zheng & Changying Fu & Yicheng Weng & An He & Xueting Ye & Weina Gao & Ruijun Tian, 2023. "Deciphering intercellular signaling complexes by interaction-guided chemical proteomics," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39881-9
    DOI: 10.1038/s41467-023-39881-9
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    References listed on IDEAS

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    3. Ying Jiang & Aihua Sun & Yang Zhao & Wantao Ying & Huichuan Sun & Xinrong Yang & Baocai Xing & Wei Sun & Liangliang Ren & Bo Hu & Chaoying Li & Li Zhang & Guangrong Qin & Menghuan Zhang & Ning Chen & , 2019. "Proteomics identifies new therapeutic targets of early-stage hepatocellular carcinoma," Nature, Nature, vol. 567(7747), pages 257-261, March.
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